Voice transformation is the process of using a small amount of speech data from a target speaker to build a transformation model that can be used to generate arbitrary speech that sounds like the target speaker. One common current technique is building Gausian Mixture Models to map spectral aspects from source to target speakers. This paper proposes the use of duration models to improve the tra...

For monitoring purposes, change detection and segmentation of remotely sensed multispectral images it is necessary to normalize the images in order to yield spectral signatures independent of illumination, atmospheric conditions and surface orientations. For small scale artiicial objects in high resolution images however, the surface orientation is not known, and hence comparison of spectral si...

The use of decision diagrams (DD) for the computation and representation of binary function spectra has been well studied [2,3,5]. Computations and representation of spectra for multiplevalued logic (MVL) functions have also been considered [6]. For binary functions, this approach can be implemented using one of a number of the highly efficient publicly available binary decision diagram (BDD) p...

In this paper we propose a theoretical framework to extend classical continuous density HMM in order to consider different spectral representations depending on the state. We stress the need for a reference space and for spectral transformations between the model spectral representation spaces and the reference space. We show that this framework permits to obtain more precise pdfs in the refere...

satellite imagery was used as a rapid and spatially explicit method to delineate crop residue cover and to estimate the use and intensity of conservation tillage. the potential of multispectral high-spatial resolution of worldview-2 local data was evaluated using 11 satellite spectral indices and linear spectral unmixing analysis (lsua). experimental plots were examined; residue cover was measu...